Evidence map›Paper›PMID 37076491›Full record

ArticleNature communications2023

Mapping genomic regulation of kidney disease and traits through high-resolution and interpretable eQTLs.

Seong Kyu Han, Michelle T McNulty, Christopher J Benway, Pei Wen, Anya Greenberg, Ana C Onuchic-Whitford, Nephrotic Syndrome Study Network (NEPTUNE), Dongkeun Jang, Jason Flannick, Noël P Burtt and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  8. Inherited Susceptibility to Urinary Tract Infections from Kidney Papilla to Bladder.medRxiv : the preprint server for health sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 1 country.

Seong Kyu Han *Division of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA.
Michelle T McNulty *Division of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-2080-0940
Christopher J Benway *Division of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-8856-0146
Pei WenCenter for Precision Disease Modeling, University of Maryland, School of Medicine, Baltimore, MD, USA.
Anya GreenbergDivision of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0003-3616-0666
Ana C Onuchic-WhitfordDivision of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA.
Nephrotic Syndrome Study Network (NEPTUNE)
Dongkeun JangPrograms in Metabolism and Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
Jason FlannickDepartment of Pediatrics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-3618-795X
Noël P BurttPrograms in Metabolism and Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
Parker C WilsonDepartment of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0001-8647-9662
Benjamin D HumphreysDivision of Nephrology, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-6420-8703
Xiaoquan WenDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-8990-2737
Zhe HanCenter for Precision Disease Modeling, University of Maryland, School of Medicine, Baltimore, MD, USA. zhan@som.maryland.edu.ORCID 0000-0002-5177-7798
Dongwon LeeDivision of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA. dongwon.lee@childrens.harvard.edu.ORCID 0000-0002-1568-2249
Matthew G SampsonDivision of Pediatric Nephrology, Boston Children's Hospital, Boston, MA, USA. matthew.sampson@childrens.harvard.edu.ORCID 0000-0001-9560-076X
Broad Institute · USUniversity of Maryland, Baltimore · USWashington University in St. Louis · US

Funding

The Impact of COVID-19 on People Living with Rare Diseases and Their FamiliesU2CTR002818 · NCATS · CINCINNATI CHILDRENS HOSP MED CTR · PI Maurizio Macaluso · 2019 to 2026
$51.2M
Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GIPSON, DEBBIE S · 2009 to 2023
$20.3M
The next iteration of the AMP-T2D Knowledge PortalUM1DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI BOEHNKE, MICHAEL L, BURTT, NOEL P · 2020 to 2025
$18.5M
Integrating large scale genomics and functional studies to accelerate FSGS/NS discoveryRC2DK122397 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI HILDEBRANDT, FRIEDHELM, POLLAK, MARTIN R. · 2020 to 2024
$7.4M
Whole Genome Sequencing for Nephrotic Syndrome DiscoveryR01DK119380 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI Dongwon Lee, MATTHEW Gordon SAMPSON · 2019 to 2026
$3.7M
The Association to Function Knowledge Portal: a genomic data resource for translating GWAS associations to biological effectsU24HG011453 · NHGRI · BROAD INSTITUTE, INC. · PI BURTT, NOEL P, FLANNICK, JASON · 2021 to 2025
$3.4M
Modeling Nephrotic Syndrome in Drosophila NephrocytesR01DK098410 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI HAN, ZHE · 2014 to 2022
$3.3M
Functional genomics of GxE in cardiovascular disease: BPA, phthalates and their interactions with gene regulationR01ES033634 · NIEHS · WAYNE STATE UNIVERSITY · PI Francesca Luca, Roger Pique-Regi · 2022 to 2026
$2.5M
Resolving Methodological Challenges in Genomics Research: Causality, Risk Prediction, and Reproducibility: Administrative SupplementR35GM138121 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Xiaoquan Wen · 2020 to 2026
$2.4M
Integrating Drosophila and human podocyte studies to discover APOL1 renal toxicity mechanism and therapeutic targetsR01DK120908 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI HAN, ZHE · 2019 to 2022
$1.4M
The Single Cell Landscape of Early Human Diabetic NephropathyK08DK126847 · NIDDK · WASHINGTON UNIVERSITY · PI Parker C. Wilson · 2022 to 2026
$840k
Mutations in TBC1D8B as a potential new cause of nephrotic syndromeF32DK122766 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI ONUCHIC-WHITFORD, ANA CLAUDIA · 2019 to 2020
$148k
NCATS NIH HHS U2C TR002818NHGRI NIH HHS U24 HG011453NHGRI NIH HHS U24HG011453NIDDK NIH HHS F32 DK122766NIDDK NIH HHS K08 DK126847NIDDK NIH HHS R01 DK098410NIDDK NIH HHS R01 DK119380NIDDK NIH HHS R01 DK120908NIDDK NIH HHS RC2 DK122397NIDDK NIH HHS RC2DK122397NIDDK NIH HHS RO1DK119380NIDDK NIH HHS U54 DK083912NIDDK NIH HHS UM1 DK105554NIDDK NIH HHS UM1DK105554NIEHS NIH HHS R01 ES033634NIGMS NIH HHS R35 GM138121
6 · The paper itself

Abstract

Expression quantitative trait locus (eQTL) studies illuminate genomic variants that regulate specific genes and contribute to fine-mapped loci discovered via genome-wide association studies (GWAS). Efforts to maximize their accuracy are ongoing. Using 240 glomerular (GLOM) and 311 tubulointerstitial (TUBE) micro-dissected samples from human kidney biopsies, we discovered 5371 GLOM and 9787 TUBE genes with at least one variant significantly associated with expression (eGene) by incorporating kidney single-nucleus open chromatin data and transcription start site distance as an "integrative prior" for Bayesian statistical fine-mapping. The use of an integrative prior resulted in higher resolution eQTLs illustrated by (1) smaller numbers of variants in credible sets with greater confidence, (2) increased enrichment of partitioned heritability for GWAS of two kidney traits, (3) an increased number of variants colocalized with the GWAS loci, and (4) enrichment of computationally predicted functional regulatory variants. A subset of variants and genes were validated experimentally in vitro and using a Drosophila nephrocyte model. More broadly, this study demonstrates that tissue-specific eQTL maps informed by single-nucleus open chromatin data have enhanced utility for diverse downstream analyses.

Indexed as

Genome-Wide Association StudyKidney DiseasesBayes TheoremChromatinGenetic Predisposition to DiseaseGenomicsHumansPolymorphism, Single NucleotideChromatin

Identifiers

PMID37076491
PMCPMC10115815
OpenAlexW4366405447

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.